Thermal Characterization of New 3D-Printed Bendable, Coplanar Capacitive Sensors.

additive manufacturing capacitive level sensors conductive filaments flexible sensors fused filament fabrication thermal characterization

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
22 Sep 2021
Historique:
received: 21 07 2021
revised: 08 09 2021
accepted: 16 09 2021
entrez: 13 10 2021
pubmed: 14 10 2021
medline: 15 10 2021
Statut: epublish

Résumé

In this paper a new low-cost stretchable coplanar capacitive sensor for liquid level sensing is presented. It has been 3D-printed by employing commercial thermoplastic polyurethane (TPU) and conductive materials and using a fused filament fabrication (FFF) process for monolithic fabrication. The sensor presents high linearity and good repeatability when measuring sunflower oil level. Experiments were performed to analyse the behaviour of the developed sensor when applying bending stimuli, in order to verify its flexibility, and a thermal characterization was performed in the temperature range from 10 °C to 40 °C to evaluate its effect on sunflower oil level measurement. The experimental results showed negligible sensitivity of the sensor to bending stimuli, whereas the thermal characterization produced a model describing the relationship between capacitance, temperature, and oil level, allowing temperature compensation in oil level measurement. The different temperature cycles allowed to quantify the main sources of uncertainty, and their effect on level measurement was evaluated.

Identifiants

pubmed: 34640644
pii: s21196324
doi: 10.3390/s21196324
pmc: PMC8512386
pii:
doi:

Substances chimiques

Polyurethanes 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2018 Sep 19;18(9):
pubmed: 30235897
Sensors (Basel). 2020 Jun 12;20(12):
pubmed: 32545700
Polymers (Basel). 2018 Dec 21;11(1):
pubmed: 30959995
Sensors (Basel). 2020 Aug 13;20(16):
pubmed: 32823712
Adv Mater. 2021 Feb;33(8):e2004782
pubmed: 33448066

Auteurs

Mattia Alessandro Ragolia (MA)

Department of Electrical and Information Engineering, Polytechnic University of Bari, 70126 Bari, Italy.

Anna M L Lanzolla (AML)

Department of Electrical and Information Engineering, Polytechnic University of Bari, 70126 Bari, Italy.

Gianluca Percoco (G)

Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, 70126 Bari, Italy.

Gianni Stano (G)

Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, 70126 Bari, Italy.

Attilio Di Nisio (A)

Department of Electrical and Information Engineering, Polytechnic University of Bari, 70126 Bari, Italy.

Articles similaires

Calcium Carbonate Sand Powders Construction Materials Materials Testing

Characterization of 3D printed composite for final dental restorations.

Lucas Eigi Borges Tanaka, Camila da Silva Rodrigues, Manassés Tércio Vieira Grangeiro et al.
1.00
Composite Resins Materials Testing Printing, Three-Dimensional Surface Properties Flexural Strength

Personalized bioceramic grafts for craniomaxillofacial bone regeneration.

Ana Beatriz G de Carvalho, Maedeh Rahimnejad, Rodrigo L M S Oliveira et al.
1.00
Humans Bone Regeneration Ceramics Printing, Three-Dimensional Tissue Scaffolds

Classifications MeSH